Comparative Evaluation of Deep Learning Models for the Classification of Impacted Maxillary Canines on Panoramic Radiographs
<b>Background/Objectives:</b> The early and accurate identification of impacted teeth in the maxilla is critical for effective dental treatment planning. Traditional diagnostic methods relying on manual interpretation of radiographic images are often time-consuming and subject to variability. <b>Met...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2026-01-01
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| Serier: | Diagnostics |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2075-4418/16/2/219 |
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